Figure 2

The overall network architecture of MD-Net that follows a decompose-reconstruct process. The branches from top to bottom are Gaussian blur, TMD, and SRD, used for acquiring global background light, transmission maps, and scene radiance respectively. The intermediate sections of TMD and SRD consist primarily of MFM, DWEU, GAP, and convolutional layers. Besides, the red line is a skip connection that carries information from the shallow layer to a deep layer. The far right consists of the Jaffe-McGlamery model (the underwater imaging model), aiming to achieve image detail restoration capabilities beyond the reference image by reconstructing the acquired parameters into underwater images, supervising the accuracy of the three parameters’ acquisition..